This paper is in the following e-collection/theme issue:

Reviews in Digital Mental Health (289) Chatbots and Conversational Agents (740) Natural Language Processing (917) AI Language Models in Health Care (202) AI in Older Adult Care (40) mHealth for Wellness, Behavior Change and Prevention (3315)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58974, first published .
Empathic Conversational Agent Platform Designs and Their Evaluation in the Context of Mental Health: Systematic Review

Empathic Conversational Agent Platform Designs and Their Evaluation in the Context of Mental Health: Systematic Review

Empathic Conversational Agent Platform Designs and Their Evaluation in the Context of Mental Health: Systematic Review

Authors of this article:

Ruvini Sanjeewa1 Author Orcid Image ;   Ravi Iyer1 Author Orcid Image ;   Pragalathan Apputhurai1 Author Orcid Image ;   Nilmini Wickramasinghe2 Author Orcid Image ;   Denny Meyer1 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

Journals

  1. Sanjeewa R, Iyer R, Apputhurai P, Wickramasinghe N, Meyer D. Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation. JMIR Formative Research 2025;9:e67835 View
  2. Ofem O. The Competence Paradox: Rethinking Goal-Setting in the Age of Algorithmic Management. Human Resource Development Review 2025 View
  3. Yu L, Ge Y, Ansari S, Imran M, Ahmad W. Multimodal Sensing-Enabled Large Language Models for Automated Emotional Regulation: A Review of Current Technologies, Opportunities, and Challenges. Sensors 2025;25(15):4763 View
  4. Zhang R, Meng H, Neubronner M, Lee Y. Computational and ethical considerations for using large language models in psychotherapy. Nature Computational Science 2025;5(10):854 View
  5. Babu A, Joseph A. Repositioning intellectual disability in the ethics of digital mental health technologies. Frontiers in Psychiatry 2025;16 View
  6. Manai S, Gemme L, Zanoli R, Lavelli A. The IDRE Dataset in Practice: Training and Evaluation of Small-to-Medium-Sized LLMs for Empathetic Rephrasing. Electronics 2025;14(20):4052 View
  7. Lan K, Sun T, Ming C, Yao B, Ding Y, Yan Y, Li Y, Luo C, Chen L, Chen J, Wu M. Towards reliable and empathetic depression-diagnosis-oriented chats. Science China Technological Sciences 2025;68(11) View

Books/Policy Documents

  1. Khalid R, Homayounvala E, Legate J, Cook C, Ouazzane K, Calcraft P. Technology for Inclusion and Participation for All: Recent Achievements and Future Directions. View

Conference Proceedings

  1. Cao J, Zhang M, Wang T. Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network. Research on the construction of a mental health management platform based on multi-source data View
  2. Peixoto J, Lyra J, Passos A, Pereira B, Gouveia A, Araujo V. Anais do VI Workshop sobre as Implicações da Computação na Sociedade (WICS 2025). Bridging AI and Psychology: A RAG-Driven Approach to Inhibitory Control and ADHD Interventions View
  3. Joshi Y, Gupta N, Mishra D. 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS). The Role of Artificial Intelligence in Mental Health Support: Present Implementations, Innovative Tools, and Research Horizons View